Latent variable and nICA modeling of pathway gene module composite

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 5872-5875

  Gong, Ting ^a   Zhu, Yitan ^a   Xuan, Jianhua ^a,b   Li, Huai ^c   Clarke, Robert ^d   Hoffman, Eric P ^e   Wang, Yue ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b CATHOLIC UNIVERSITY OF AMERICA   (United States)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

^d GEORGETOWN UNIVERSITY   (United States)

^e CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

Author keywords

Gene clustering; Latent variable model; Microarray data analysis; Module discovery; Non negative ICA

Indexed keywords

BIOLOGICAL SYSTEMS; DATA REDUCTION; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; MICROARRAYS; MOLECULAR STRUCTURE;

GENE CLUSTERING; LATENT VARIABLE MODELS; MICROARRAY DATA ANALYSIS; MODULE DISCOVERY;

GENES;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOLOGY; CLUSTER ANALYSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; METABOLISM; METHODOLOGY; MULTIGENE FAMILY; SACCHAROMYCES CEREVISIAE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; MODELS, GENETIC; MODELS, STATISTICAL; MULTIGENE FAMILY; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SACCHAROMYCES CEREVISIAE;

EID: 34047126824     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260697     Document Type: Conference Paper

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